Visualisation best practice

Visualisation best practice

August 19, 2019 DATAcated Challenge 0

First begin with understanding client business, technical and business requirements.
 Understand the context of the visualization and audience who we intend to build.
 Capture user stories/business problems they are trying to address.
 Understand the data model, data analysis and data preparation.
 Storyboard/sketch initial prototype to solve the above problems.
 Choose an appropriate visual that effectively brings the story live and answer the business
questions.
 Remove unnecessary elements, keep it clean and simple.
 Showcase the visualization to stakeholders, seek feedback and iterate.

 Data reconcile to make sure the numbers in the visualization are matching to the numbers in the source.
 Unit testing, System testing, UAT, approval and deploying to production.
 User training, support and maintenance.

Form follows function: First, we want to think about what it is we want our audience to be able to do
with the data (function) and then create a visualization (form) that will allow for this with ease.
 Don’t assume that two different people looking at the same data visualization will draw the same conclusion.
 Leverage pre-attentive attributes to make those important words stand out.
 Offer your audience visual affordances as cues for how to interact with your visualization.
 Highlight the important stuff and eliminate distractions.
 Make it legible and clean.
 Label and title as appropriate, so there’s no work going back and forth between a legend and the data to decipher what is being graphed.
 Whatever data is required for context, but doesn’t need to be highlighted, push it to the background.
 Employ attributes like color, thickness, size, position, labeling, text and annotation to emphasize and
de-emphasize components throughout the visual.
 If there is a conclusion you want your audience to reach, state it in words.

By: Seraj Alam

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